Computer vision wind direction for unmanned aerial vehicle (UAV) applications
Image data is used to determine wind speed and wind direction during takeoff and landing by an unmanned aerial vehicle (UAV). The flight data, including image data, may be received using sensors onboard the UAV and/or the flight data may be received from other sources, such as nearby anemometer, cam...
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creator | Williams, Peter Joseph Harris, Scott Raymond |
description | Image data is used to determine wind speed and wind direction during takeoff and landing by an unmanned aerial vehicle (UAV). The flight data, including image data, may be received using sensors onboard the UAV and/or the flight data may be received from other sources, such as nearby anemometer, cameras, other UAVs, other vehicles, and/or local weather stations. Machine learning models may train using the flight data gathered by the UAVs to determine the wind velocity based on image data. The UAV may adjust flight control settings to generate side forces to overcome the predicted wind velocity. |
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The flight data, including image data, may be received using sensors onboard the UAV and/or the flight data may be received from other sources, such as nearby anemometer, cameras, other UAVs, other vehicles, and/or local weather stations. Machine learning models may train using the flight data gathered by the UAVs to determine the wind velocity based on image data. The UAV may adjust flight control settings to generate side forces to overcome the predicted wind velocity.</description><language>eng</language><subject>AEROPLANES ; AIRCRAFT ; ARRANGEMENTS OR MOUNTING OF POWER PLANTS OR PROPULSIONTRANSMISSIONS IN AIRCRAFT ; AVIATION ; CALCULATING ; COMPUTING ; CONTROLLING ; COSMONAUTICS ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; EQUIPMENT FOR FITTING IN OR TO AIRCRAFT ; FLYING SUITS ; HELICOPTERS ; PARACHUTES ; PERFORMING OPERATIONS ; PHYSICS ; REGULATING ; SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES ; TRANSPORTING</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221108&DB=EPODOC&CC=US&NR=11493938B1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221108&DB=EPODOC&CC=US&NR=11493938B1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Williams, Peter Joseph</creatorcontrib><creatorcontrib>Harris, Scott Raymond</creatorcontrib><title>Computer vision wind direction for unmanned aerial vehicle (UAV) applications</title><description>Image data is used to determine wind speed and wind direction during takeoff and landing by an unmanned aerial vehicle (UAV). 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subjects | AEROPLANES AIRCRAFT ARRANGEMENTS OR MOUNTING OF POWER PLANTS OR PROPULSIONTRANSMISSIONS IN AIRCRAFT AVIATION CALCULATING COMPUTING CONTROLLING COSMONAUTICS COUNTING ELECTRIC DIGITAL DATA PROCESSING EQUIPMENT FOR FITTING IN OR TO AIRCRAFT FLYING SUITS HELICOPTERS PARACHUTES PERFORMING OPERATIONS PHYSICS REGULATING SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES TRANSPORTING |
title | Computer vision wind direction for unmanned aerial vehicle (UAV) applications |
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